Per capita water consumption is an important parameter in the design and
augmentation of water supply systems. The procedure in vogue for ascertaining
rate of daily water supply (expressed as liters per capita per day) does not
include the perception of consumers and their satisfaction concerning the
water made available to them. The case study relates to the application of
the concept of "Agreement Index" for the estimation of per capita water
supply of the residents of New Delhi, India.

* Application Area 2: Water Quality (Fuzzy Description of River Water Quality)

Information on the status and changing trends in environmental quality is
necessary to formulate sound public policies and efficient implementation of
environmental quality programs. One of the ways of communicating such
information in general, and river water quality in particular, to policy
makers and public at large, is with indices. The case study presents the
classification of water quality for bathing purposes in river Ganges, India
at three distinct sampling stations along the river.

Estimation of fuzzy probability of occurrence of a hazardous event (such as
accidental release of chemicals) with recourse to Fuzzy Set Theory is a
topic of relevance in Quantitative Risk Assessment of Chemical Plants. The
case study relates to fuzzification of fault tree of double-walled double
integrity atmospheric ammonia storage tank of large capacity using available
interfailure statistics of process control instruments.

**********************************************************************
Please direct questions with regard to the contents of the talk
and request for papers to the speaker.
**********************************************************************

--
---------------------------------------------------------------------------
Frank Hoffmann UC Berkeley
Computer Science Division Department of EECS
Email: fhoffman@cs.berkeley.edu phone: 1-510-642-8282
URL: http://http.cs.berkeley.edu/~fhoffman fax: 1-510-642-5775
---------------------------------------------------------------------------
If you ever want to remove yourself from this mailing list,
you can send mail to <Majordomo@EECS.Berkeley.EDU> with the following
command in the body of your email message:
unsubscribe bisc-group
or from another account,
unsubscribe bisc-group <your_email_adress>
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Do NOT send unsubscribe requests to bisc-group@cs.berkeley.edu
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

############################################################################
This message was posted through the fuzzy mailing list.
(1) To subscribe to this mailing list, send a message body of
"SUB FUZZY-MAIL myFirstName mySurname" to listproc@dbai.tuwien.ac.at
(2) To unsubscribe from this mailing list, send a message body of
"UNSUB FUZZY-MAIL" or "UNSUB FUZZY-MAIL yoursubscription@email.address.com"
to listproc@dbai.tuwien.ac.at
(3) To reach the human who maintains the list, send mail to
fuzzy-owner@dbai.tuwien.ac.at
(4) WWW access and other information on Fuzzy Sets and Logic see
http://www.dbai.tuwien.ac.at/ftp/mlowner/fuzzy-mail.info
(5) WWW archive: http://www.dbai.tuwien.ac.at/marchives/fuzzy-mail/index.html